Sense-making in visual analytics: processes and challenges

Attfield, Simon ORCID: https://orcid.org/0000-0001-9374-2481, Hara, Sukhvinder ORCID: https://orcid.org/0000-0003-1859-1227 and Wong, B. L. William ORCID: https://orcid.org/0000-0002-3363-0741 (2010) Sense-making in visual analytics: processes and challenges. In: EuroVAST 2010: The 1st European Symposium on Visual Analytics Science and Technology., 08 Jun 2010, Bordeaux, France. . [Conference or Workshop Item]

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Abstract

Since Visual Analytic systems support human sensemaking it is essential that such systems are designed with
characteristics of this process in mind. Drawing on our previous work with lawyers and reports from experienced
fraud investigators we describe the nature of the cognitive work to be supported. We describe the cognitive work domain in terms of its data characteristics, and develop a model of the sensemaking as basis for discussing a distinction between ‘naturalistic’ and ‘normative’ sensemaking with a particular emphasis on inference types and the potential for bias. We also report results from a questionnaire-based case study designed to elicit memorable
incidents from fraud investigators’ experiences. Given the legal context the case study exemplifies skills and
strategies that are necessary in order to achieve normative and defensible sensemaking under pressure of high volume datasets.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Aspects of Law and Ethics Related to Technology group
A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 6801
Notes on copyright: Author's final version of paper given at conference.
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Depositing User: Repository team
Date Deposited: 04 Jan 2011 14:12
Last Modified: 10 Jun 2021 17:28
URI: https://eprints.mdx.ac.uk/id/eprint/6801

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